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Poulovassilis, A.; Selmer, P.; Wood, P. T. – IEEE Transactions on Learning Technologies, 2012
This paper discusses the provision of flexible querying facilities over heterogeneous data arising from lifelong learners' educational and work experiences. A key aim of such querying facilities is to allow learners to identify possible choices for their future learning and professional development by seeing what others have done. We motivate and…
Descriptors: Lifelong Learning, Metadata, Information Retrieval, Search Engines
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Chen, Hsinchun; Li, Xin; Chau, M.; Ho, Yi-Jen; Tseng, Chunju – IEEE Transactions on Education, 2009
With the advent of the World Wide Web, many business applications that utilize data mining and text mining techniques to extract useful business information on the Web have evolved from Web searching to Web mining. It is important for students to acquire knowledge and hands-on experience in Web mining during their education in information systems…
Descriptors: Class Activities, Information Systems, Internet, Computer Science Education
Smith, Peter, Ed. – Association Supporting Computer Users in Education, 2014
The Association Supporting Computer Users in Education (ASCUE) is a group of people interested in small college computing issues. It is a blend of people from all over the country who use computers in their teaching, academic support, and administrative support functions. ASCUE has a strong tradition of bringing its members together to pool their…
Descriptors: Conferences (Gatherings), Conference Papers, Computer Uses in Education, Small Colleges
Jansen, Bernard J. – 2002
End user searching on the Web has become the primary method of locating images for many people. This study investigates the nature of Web image queries by attempting to map them to known image classification schemes. In this study, approximately 100,000 image queries from a major Web search engine were collected in 1997, 1999, and 2001. A…
Descriptors: Classification, Computer System Design, Indexing, Information Retrieval
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Gupta, Amardeep – Journal of Educational Technology, 2005
Current search engines--even the constantly surprising Google--seem unable to leap the next big barrier in search: the trillions of bytes of dynamically generated data created by individual web sites around the world, or what some researchers call the "deep web." The challenge now is not information overload, but information overlook.…
Descriptors: Search Engines, Computer System Design, Computer Software Evaluation, Information Retrieval